168 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Netherlands
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encouraged to acquire independent funding and to work in close collaboration with other teams participating in the DYNAMIC initiative. At the Donders Institute, you will play an active role encouraging
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Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present
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; streamlining, improving and providing regular training on ground segment processes related to the Navigation Quality Management System; ensuring that the lessons learned for the Galileo ground segment
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motivating work environment and promoting good team spirit; supporting team members with ongoing professional development by encouraging learning and delegating responsibilities; identifying, assessing
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute
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generate new knowledge and critically assess approaches that integrate scientific insights with artistic research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how
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opportunities to develop your teaching skills. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . I quickly found my rhythm
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. Our academics collaborate in six research centres and teach more than 1,000 students. Our staff and students are committed. The lines of communication are short and each individual student and staff
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departments and four support departments. Our academics collaborate in six research centres and teach more than 1,000 students. Our staff and students are committed. The lines of communication are short and
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considered an advantage. Technical Skills Proficiency in MATLAB, Python, and/or R. Experience with data science frameworks (e.g., AI, LLMs). Familiarity with machine learning (e.g., scikit-learn, MVPA, RSA